Tag: hive_interview
Hive : How can you reduce skew join in Hive ?
In Hive, a skew join occurs when one or more keys in a table have significantly more values than other…
Hive : Hive’s dynamic partitioning and how can you use it in your Hive queries?
Hive’s dynamic partitioning is a feature that enables the automatic partitioning of data in Hive tables based on the data’s…
Hive : Hive’s ACID properties and how can you implement them in a table?
One of the key features that makes Hive a powerful tool for big data analytics is the support for ACID…
Hive : How can you implement bucketing in Hive?
Hive allows you to store and analyze large volumes of data in a distributed environment. One of the features that…
Hive : Role of Hive’s partitioning and bucketing features and how can you use them to improve query performance on large datasets?
Introduction Apache Hive is a popular data warehousing solution built on top of Apache Hadoop. Hive provides a SQL-like interface…
Hive : Difference between the Tez execution engine and the Spark execution engine in Hive
Hive is a data warehousing tool built on top of Hadoop, which allows us to write SQL-like queries on large…
Hive : Different types of Hive execution engines
Hive is an open-source data warehouse tool built on top of Hadoop. It allows users to write SQL-like queries, called…
Hive : Difference between the MapReduce execution engine and the Tez execution engine in Hive
MapReduce and Tez are two popular execution engines used in Apache Hive for processing large-scale datasets. While both engines are…